The var function from the base is replace by a new
method in order to report the variance of circular data
appropriatly. var.default is an alias of the original function
var see cor. The behavior would be the same for objects which are not
from classdata.frame and
circular (in the last case the variance is define as one
minus the mean resultant length divided by the sample size of data, see
var.circular for more details). The method for
data.frame will apply the var function to each columns.
Usage
var(x, ...)
## Default S3 method:
var(x, y = NULL, na.rm = FALSE, use, ...)
## S3 method for class 'data.frame'
var(x, ...)
Arguments
x
a numeric vector, matrix or data frame.
y
NULL (default) or a vector, matrix or data frame with
compatible dimensions to x. The default is equivalent to
y = x (but more efficient).
na.rm
logical. Should missing values be removed?
use
an optional character string giving a
method for computing covariances in the presence
of missing values. This must be (an abbreviation of) one of the strings
"all.obs", "complete.obs" or "pairwise.complete.obs".
...
further arguments passed to or from other methods.
See Also
cor, var.circular, rho.circular and summary.circular.